Measurement algorithms of cross-section area and blood speed for noninvasive blood flow measurement system

Keiichiro Ito, Tomofumi Asayama, Shigeki Sugano, Hiroyasu Iwata

    研究成果: Conference contribution

    1 引用 (Scopus)

    抄録

    The purpose of this paper is to propose measurement algorithms of cross-section area and blood speed of an artery by controlling a robotic system equipped with an ultrasound probe for large pulsation and a displacement towards the out-of-plane of a US image. Detecting the position and speed of a bleeding source is required as the first step in treating internal bleeding in emergency medical medicine. However, the current methods for detecting a bleeding source involve an invasive approach and cannot quantitatively estimate the speed of bleeding. Therefore, current emergency medical care requires an alternative system to address these problems. In this study, we aim to develop a robotic system for detecting bleeding source based on the blood flow measured by using a noninvasive modality like an ultrasound (US) imaging device. Some problems related to the measurement error still need to be addressed before we can create this system. In particular, the blood flow measurement error in the abdominal area is typically large, because the pulse amplitude and displacement of the artery is too large even to adequately control the probe. As the first step in solving these problems, we focused on the large pulse amplitude and displacement of the artery towards the out-of-plane of a US image, and developed measurement algorithms to control the probe. We conducted flow volume measurement experiments using an ultrasound phantom containing artery model and a manipulator equipped with a US probe (BASIS-1). The results present the first experimental validation of the proposed algorithms.

    元の言語English
    ホスト出版物のタイトル2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
    ページ263-268
    ページ数6
    DOI
    出版物ステータスPublished - 2011
    イベント2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 - Phuket
    継続期間: 2011 12 72011 12 11

    Other

    Other2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
    Phuket
    期間11/12/711/12/11

    Fingerprint

    Flow measurement
    Blood
    Ultrasonics
    Measurement errors
    Robotics
    Volume measurement
    Health care
    Medicine
    Manipulators
    Imaging techniques
    Experiments

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

    これを引用

    Ito, K., Asayama, T., Sugano, S., & Iwata, H. (2011). Measurement algorithms of cross-section area and blood speed for noninvasive blood flow measurement system. : 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 (pp. 263-268). [6181296] https://doi.org/10.1109/ROBIO.2011.6181296

    Measurement algorithms of cross-section area and blood speed for noninvasive blood flow measurement system. / Ito, Keiichiro; Asayama, Tomofumi; Sugano, Shigeki; Iwata, Hiroyasu.

    2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011. 2011. p. 263-268 6181296.

    研究成果: Conference contribution

    Ito, K, Asayama, T, Sugano, S & Iwata, H 2011, Measurement algorithms of cross-section area and blood speed for noninvasive blood flow measurement system. : 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011., 6181296, pp. 263-268, 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011, Phuket, 11/12/7. https://doi.org/10.1109/ROBIO.2011.6181296
    Ito K, Asayama T, Sugano S, Iwata H. Measurement algorithms of cross-section area and blood speed for noninvasive blood flow measurement system. : 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011. 2011. p. 263-268. 6181296 https://doi.org/10.1109/ROBIO.2011.6181296
    Ito, Keiichiro ; Asayama, Tomofumi ; Sugano, Shigeki ; Iwata, Hiroyasu. / Measurement algorithms of cross-section area and blood speed for noninvasive blood flow measurement system. 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011. 2011. pp. 263-268
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